transformers - 💡(How to fix) Fix Unnecessary noise when loading a transformer [7 comments, 5 participants]

Q: Expected behavior

Expected behavior would be nice and quiet! ``` >>> from transformers import AutoModel >>> bert_model = AutoModel.from_pretrained('hfl/chinese-electra-180g-large-discriminator') >>> ```

transformers2026-03-02 23:43:47

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huggingface/transformers#44403•Fetched 2026-04-08 00:28:44

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Error Message

from transformers import AutoModel bert_model = AutoModel.from_pretrained('hfl/chinese-electra-180g-large-discriminator') Loading weights: 100%|████████████████████████████████████████████| 389/389 [00:00<00:00, 5460.73it/s, Materializing param=encoder.layer.23.output.dense.weight] ElectraModel LOAD REPORT from: hfl/chinese-electra-180g-large-discriminator Key | Status | | --------------------------------------------------+------------+--+- electra.embeddings.position_ids | UNEXPECTED | | discriminator_predictions.dense_prediction.bias | UNEXPECTED | | discriminator_predictions.dense.weight | UNEXPECTED | | discriminator_predictions.dense_prediction.weight | UNEXPECTED | | discriminator_predictions.dense.bias | UNEXPECTED | |

Notes:

UNEXPECTED :can be ignored when loading from different task/architecture; not ok if you expect identical arch.

Exception in Thread-auto_conversion: Traceback (most recent call last): File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 720, in hf_raise_for_status response.raise_for_status() ~~~~~~~~~~~~~~~~~~~~~~~~~^^ File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/httpx/_models.py", line 829, in raise_for_status raise HTTPStatusError(message, request=request, response=self) httpx.HTTPStatusError: Client error '403 Forbidden' for url 'https://huggingface.co/api/models/hfl/chinese-electra-180g-large-discriminator/discussions?p=0' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/403

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/nlp/scr/horatio/miniconda3/lib/python3.13/threading.py", line 1043, in _bootstrap_inner self.run() ~~~~~~~~^^ File "/nlp/scr/horatio/miniconda3/lib/python3.13/threading.py", line 994, in run self._target(*self._args, **self._kwargs) ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 117, in auto_conversion raise e File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 96, in auto_conversion sha = get_conversion_pr_reference(api, pretrained_model_name_or_path, **cached_file_kwargs) File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 69, in get_conversion_pr_reference pr = previous_pr(api, model_id, pr_title, token=token) File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 14, in previous_pr for discussion in get_repo_discussions(repo_id=model_id, token=token): ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/hf_api.py", line 6455, in get_repo_discussions discussions, has_next = _fetch_discussion_page(page_index=page_index) ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^ File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/hf_api.py", line 6444, in _fetch_discussion_page hf_raise_for_status(resp) ~~~~~~~~~~~~~~~~~~~^^^^^^ File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 802, in hf_raise_for_status raise _format(HfHubHTTPError, message, response) from e huggingface_hub.errors.HfHubHTTPError: (Request ID: Root=1-69a62017-4041fa5968ff8ee13d64fe3d;47725ac8-64d6-4947-ad16-4f88ef89391c)

403 Forbidden: Discussions are disabled for this repo. Cannot access content at: https://huggingface.co/api/models/hfl/chinese-electra-180g-large-discriminator/discussions?p=0. Make sure your token has the correct permissions.

KeyboardInterrupt

Code Example

>>> from transformers import AutoModel
>>> bert_model = AutoModel.from_pretrained('hfl/chinese-electra-180g-large-discriminator')
Loading weights: 100%|████████████████████████████████████████████| 389/389 [00:00<00:00, 5460.73it/s, Materializing param=encoder.layer.23.output.dense.weight]
ElectraModel LOAD REPORT from: hfl/chinese-electra-180g-large-discriminator
Key                                               | Status     |  |
--------------------------------------------------+------------+--+-
electra.embeddings.position_ids                   | UNEXPECTED |  |
discriminator_predictions.dense_prediction.bias   | UNEXPECTED |  |
discriminator_predictions.dense.weight            | UNEXPECTED |  |
discriminator_predictions.dense_prediction.weight | UNEXPECTED |  |
discriminator_predictions.dense.bias              | UNEXPECTED |  |

Notes:
- UNEXPECTED    :can be ignored when loading from different task/architecture; not ok if you expect identical arch.
>>>
Exception in Thread-auto_conversion:
Traceback (most recent call last):
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 720, in hf_raise_for_status
    response.raise_for_status()
    ~~~~~~~~~~~~~~~~~~~~~~~~~^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/httpx/_models.py", line 829, in raise_for_status
    raise HTTPStatusError(message, request=request, response=self)
httpx.HTTPStatusError: Client error '403 Forbidden' for url 'https://huggingface.co/api/models/hfl/chinese-electra-180g-large-discriminator/discussions?p=0'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/403

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/threading.py", line 1043, in _bootstrap_inner
    self.run()
    ~~~~~~~~^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/threading.py", line 994, in run
    self._target(*self._args, **self._kwargs)
    ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 117, in auto_conversion
    raise e
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 96, in auto_conversion
    sha = get_conversion_pr_reference(api, pretrained_model_name_or_path, **cached_file_kwargs)
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 69, in get_conversion_pr_reference
    pr = previous_pr(api, model_id, pr_title, token=token)
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 14, in previous_pr
    for discussion in get_repo_discussions(repo_id=model_id, token=token):
                      ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/hf_api.py", line 6455, in get_repo_discussions
    discussions, has_next = _fetch_discussion_page(page_index=page_index)
                            ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/hf_api.py", line 6444, in _fetch_discussion_page
    hf_raise_for_status(resp)
    ~~~~~~~~~~~~~~~~~~~^^^^^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 802, in hf_raise_for_status
    raise _format(HfHubHTTPError, message, response) from e
huggingface_hub.errors.HfHubHTTPError: (Request ID: Root=1-69a62017-4041fa5968ff8ee13d64fe3d;47725ac8-64d6-4947-ad16-4f88ef89391c)

403 Forbidden: Discussions are disabled for this repo.
Cannot access content at: https://huggingface.co/api/models/hfl/chinese-electra-180g-large-discriminator/discussions?p=0.
Make sure your token has the correct permissions.

>>>
KeyboardInterrupt

---

>>> from transformers import AutoModel
>>> bert_model = AutoModel.from_pretrained('hfl/chinese-electra-180g-large-discriminator')
>>>

RAW_BUFFERClick to expand / collapse

System Info

python: 3.13.5

torch: 2.7.1+cu118

transformers: 5.2.0

tokenizers: 0.22.2

Who can help?

@ArthurZucker @Cyrilvallez

Information

The official example scripts
My own modified scripts

Tasks

An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
My own task or dataset (give details below)

Reproduction

The latest version of transformers is extremely noisy, and there seems to be no reason or benefit for any of it.

>>> from transformers import AutoModel
>>> bert_model = AutoModel.from_pretrained('hfl/chinese-electra-180g-large-discriminator')
Loading weights: 100%|████████████████████████████████████████████| 389/389 [00:00<00:00, 5460.73it/s, Materializing param=encoder.layer.23.output.dense.weight]
ElectraModel LOAD REPORT from: hfl/chinese-electra-180g-large-discriminator
Key                                               | Status     |  |
--------------------------------------------------+------------+--+-
electra.embeddings.position_ids                   | UNEXPECTED |  |
discriminator_predictions.dense_prediction.bias   | UNEXPECTED |  |
discriminator_predictions.dense.weight            | UNEXPECTED |  |
discriminator_predictions.dense_prediction.weight | UNEXPECTED |  |
discriminator_predictions.dense.bias              | UNEXPECTED |  |

Notes:
- UNEXPECTED    :can be ignored when loading from different task/architecture; not ok if you expect identical arch.
>>>
Exception in Thread-auto_conversion:
Traceback (most recent call last):
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 720, in hf_raise_for_status
    response.raise_for_status()
    ~~~~~~~~~~~~~~~~~~~~~~~~~^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/httpx/_models.py", line 829, in raise_for_status
    raise HTTPStatusError(message, request=request, response=self)
httpx.HTTPStatusError: Client error '403 Forbidden' for url 'https://huggingface.co/api/models/hfl/chinese-electra-180g-large-discriminator/discussions?p=0'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/403

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/threading.py", line 1043, in _bootstrap_inner
    self.run()
    ~~~~~~~~^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/threading.py", line 994, in run
    self._target(*self._args, **self._kwargs)
    ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 117, in auto_conversion
    raise e
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 96, in auto_conversion
    sha = get_conversion_pr_reference(api, pretrained_model_name_or_path, **cached_file_kwargs)
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 69, in get_conversion_pr_reference
    pr = previous_pr(api, model_id, pr_title, token=token)
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/transformers/safetensors_conversion.py", line 14, in previous_pr
    for discussion in get_repo_discussions(repo_id=model_id, token=token):
                      ~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/hf_api.py", line 6455, in get_repo_discussions
    discussions, has_next = _fetch_discussion_page(page_index=page_index)
                            ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/hf_api.py", line 6444, in _fetch_discussion_page
    hf_raise_for_status(resp)
    ~~~~~~~~~~~~~~~~~~~^^^^^^
  File "/nlp/scr/horatio/miniconda3/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 802, in hf_raise_for_status
    raise _format(HfHubHTTPError, message, response) from e
huggingface_hub.errors.HfHubHTTPError: (Request ID: Root=1-69a62017-4041fa5968ff8ee13d64fe3d;47725ac8-64d6-4947-ad16-4f88ef89391c)

403 Forbidden: Discussions are disabled for this repo.
Cannot access content at: https://huggingface.co/api/models/hfl/chinese-electra-180g-large-discriminator/discussions?p=0.
Make sure your token has the correct permissions.

>>>
KeyboardInterrupt

Expected behavior

Expected behavior would be nice and quiet!

>>> from transformers import AutoModel
>>> bert_model = AutoModel.from_pretrained('hfl/chinese-electra-180g-large-discriminator')
>>>

extent analysis

Fix Plan

Downgrade Transformers

The issue seems to be caused by the latest version of transformers, which is extremely noisy. Downgrading to a stable version should resolve the issue.

Step-by-Step Solution

Uninstall the current version of transformers:

pip uninstall transformers

2. **Install the previous stable version (5.1.0)**:
   ```bash
pip install transformers==5.1.0

Verify the installation:

import transformers print(transformers.version)


## Verify the Fix

1. **Load the model**:
   ```python
from transformers import AutoModel
bert_model = AutoModel.from_pretrained('hfl/chinese-electra-180g-large-discriminator')

Check for any errors or unexpected output.

If the fix is successful, you should see a quiet output without any errors.

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FAQ

Expected behavior

Expected behavior would be nice and quiet!

>>> from transformers import AutoModel
>>> bert_model = AutoModel.from_pretrained('hfl/chinese-electra-180g-large-discriminator')
>>>

#api #ssr #installation #tensor shape #autograd error #docker error #permission error #memory optimization #batch processing

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transformers - 💡(How to fix) Fix Unnecessary noise when loading a transformer [7 comments, 5 participants]

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extent analysis

Fix Plan

Downgrade Transformers

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Expected behavior

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transformers - 💡(How to fix) Fix Unnecessary noise when loading a transformer [7 comments, 5 participants]

Recommended Tools

GitHub issue graph ai analysis

Error Message

Code Example

System Info

Who can help?

Information

Tasks

Reproduction

Expected behavior

extent analysis

Fix Plan

Downgrade Transformers

Step-by-Step Solution

FAQ

Expected behavior

Still need to ship something?

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